Doesn’t have any bearing historically. Also seems more like a brute force search, where the component of studying the materials properties has been made more efficient (by partially replacing lab experiments with deep learning).
The entire purpose of the paper is eliminating a brute force search. It wouldn’t be possible to identify these materials with brute force. Deep learning lets you bypass brute force by zooming in on the shapes in the energy landscape that are relevant to what you’re doing. A similar thing is possible with human intuition. It’s certainly not the case that this has allowed people to completely avoid experimentation, but I share it to point out that it’s not actually impossible to have very strong models of the energy landscape.
Doesn’t have any bearing historically. Also seems more like a brute force search, where the component of studying the materials properties has been made more efficient (by partially replacing lab experiments with deep learning).
The entire purpose of the paper is eliminating a brute force search. It wouldn’t be possible to identify these materials with brute force. Deep learning lets you bypass brute force by zooming in on the shapes in the energy landscape that are relevant to what you’re doing. A similar thing is possible with human intuition. It’s certainly not the case that this has allowed people to completely avoid experimentation, but I share it to point out that it’s not actually impossible to have very strong models of the energy landscape.
Sorry, low effort comment on my side. Still, I think the original link seems misleading in the point it’s purportedly trying to make.